MGeND: an integrated database for Japanese clinical and genomic information

Mayumi Kamada, Masahiko Nakatsui, Ryosuke Kojima, Sachio Nohara, Eiichiro Uchino, Shigeki Tanishima, Masaya Sugiyama, Kenjiro Kosaki, Katsushi Tokunaga, Masashi Mizokami,

Human Genome Variation · 2019 · 15 citations · 8 references

DOIFull text

Open access

Concepts

Abstract

To promote the implementation of genomic medicine, we developed an integrated database, the Medical Genomics Japan Variant Database (MGeND). In its first release, MGeND provides data regarding genomic variations in Japanese individuals, collected by research groups in five disease fields. These variations consist of curated SNV/INDEL variants and susceptibility variants for diseases established by genome-wide association study analysis. Furthermore, we recorded the frequencies of HLA alleles in infectious disease populations.

References

8